amine-akrout/llm-based-recommender
AI-powered fashion recommendation system leveraging LLMs, embeddings, and retrieval techniques to deliver personalized shopping experiences.
Implements a RAG pipeline combining FAISS vector search, BM25 lexical matching, and cross-encoder reranking to handle both semantic and keyword-based queries across a 30K-product dataset. The system uses LangGraph for orchestration, integrating FastAPI for scalable API serving and Streamlit for an interactive chatbot UI, with support for both local Ollama models and GPT-4o-mini through configurable LLM backends.
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30
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8
Language
Python
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Last pushed
Jul 23, 2025
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